Analysis of Regional Carbon Productivity Differences and Influencing Factors -Based on New Green Decomposition Model Provisionally Accepted

Min Fu^{1, 2} Ying Mei^{1, 3} Lixin Tian^{1, 2*} Chao Zhang^{1, 3}

• ¹Research Institute of Carbon Neutralization Development, Jiangsu University, China
• ²Jiangsu Province Engineering Research Center of Spatial Big Data, Nanjing Normal University, China
• ³Jiangsu Province Engineering Research Center of Industrial Carbon System Analysis, Jiangsu University, China

This paper introduces a new green decomposition model of carbon productivity that aims to further analyze the regional differences in carbon productivity and its interaction with regional industrial performance. We combine desired outputs and undesired outputs orientation, and multiple factor inputs to derive a new green decomposition theorem, establish a new green decomposition model of carbon productivity, and obtain nine effects of regional carbon productivity differences. Empirical analysis is conducted using input-output data from 29 provinces and 15 industries in China, comparing the differences in carbon productivity from both the provincial and industry perspectives and exploring the mechanism of action. This paper provides theoretical basis and empirical evidence for regional carbon productivity enhancement and economic and industrial optimization from the perspective of multi-factor inputs, as well as policy insights for regional low-carbon transition development.